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1.
为了安全可靠地检索、持有性验证电子医疗系统中重要的病历数据,提出了一种适用于电子医疗系统下支持数据持有性验证的检索方案。结合编辑距离,实现了多关键字容错联合搜索功能;基于编码Hash相关知识实现了对电子医疗系统中病历数据的持有性验证;基于特权树权限控制,实现了对电子医疗系统中病历数据的细粒度权限控制。安全性分析表明,方案在理论分析上是安全可靠的。实验数据表明,方案在搜索效率以及数据持有性验证方面实际有效。  相似文献   
2.
Advances in telecommunication and online service solutions help to bridge the digital divide between rural and urban healthcare services, enabling provision of suitable medical diagnosis and treatment consultations. Although applying e-health solutions has brought some positive impact full potential has not yet been realised, especially in regions where expertise is scarce. In this study we develop and evaluate an e-health consultancy system utilizing cloud computing (we so called “On-Cloud Healthcare Clinic”) that enables doctors and healthcare workers to identify and treat non-communicable diseases in rural and remote communities in Bangladesh, a developing nation.Adopting a design science research approach we developed the solution based around stakeholders’ collaborative participation in prototyping and then evaluated the design using focus groups. The cloud-based solution supports doctors in evaluating and diagnosing patients’ data and medical history through intermediary health care workers or community clinics. The design also knowledgeably allows informed decisions on a course of treatment with follow up for remote or underserved communities. Previously unavailable clinical work is thus practically achieved through utilization of the cloud based e-health system, and generalisation of this approach in healthcare management is discussed.  相似文献   
3.
People often communicate with auto-answering tools such as conversational agents due to their 24/7 availability and unbiased responses. However, chatbots are normally designed for specific purposes and areas of experience and cannot answer questions outside their scope. Chatbots employ Natural Language Understanding (NLU) to infer their responses. There is a need for a chatbot that can learn from inquiries and expand its area of experience with time. This chatbot must be able to build profiles representing intended topics in a similar way to the human brain for fast retrieval. This study proposes a methodology to enhance a chatbot's brain functionality by clustering available knowledge bases on sets of related themes and building representative profiles. We used a COVID-19 information dataset to evaluate the proposed methodology. The pandemic has been accompanied by an “infodemic” of fake news. The chatbot was evaluated by a medical doctor and a public trial of 308 real users. Evaluations were obtained and statistically analyzed to measure effectiveness, efficiency, and satisfaction as described by the ISO9214 standard. The proposed COVID-19 chatbot system relieves doctors from answering questions. Chatbots provide an example of the use of technology to handle an infodemic.  相似文献   
4.
With promising applications in e?health and entertainment, wireless body area networks (WBANs) have attracted the in?terest of both academia and industry. If WBANs are densely deployed within a small a...  相似文献   
5.
Health 3.0 is a health-related extension of the Web 3.0 concept. It is based on the semantic Web which provides for semantically organizing electronic health records of individuals. Health 3.0 is rapidly gaining ground as a new research topic in many academic and industrial disciplines. Due to the recent rapid spread of wearable sensors and smart devices with access to social media, migrating health services from the traditional centre-based health system to personal health care is inevitable. In this current era of greater personalization, treating patients' health problems according to their profile and medical data gathered is possible using the latest information technologies. Consequently, personalized health recommender systems have gained importance. Empowering the utility of advanced Web technology in personalized health systems is still challenging due to pressing issues, such as lack of low cost and accurate smart medical sensors and wearable devices, existing investment in legacy Web system architecture in health sector, heterogeneity of medical data gathered by myriad health care institutions and isolated health services, and interoperability issues as well as multi-dimensionality of medical data. By tracing recent developments, this paper offers a systematic review through recent research on semantic Web-enabled personalized health systems, namely, semanticized personalized health recommender systems with the key enabling technologies, major applications, and successful case studies. Critical questions derived from the research studies were discussed, and main directions of open issues were identified leading to recommendations for future study in the field of personalized health recommender systems.  相似文献   
6.
在物联网应用中,脑血管诊疗的电子健康平台可以很好地实现脑血管健康异地保健和远程医疗的要求.设计实现了脑血管诊疗的物联网e-health平台层次结构.面对物联网平台网络的普及化应用要求,提出并实现了基于统计模型的脑血管无人工干预分割算法;面向物联网平台组件之间的快速和高可靠性数据传输特点,提出并实现了基于球B样条三维重构模型.基于双高斯模型的脑血管统计分割模型融合改进的SEM算法,无需人工设定初始轮廓、高维进化函数和进化终止条件.脑血管在脑组织中所占比例较低(<5%),成像灰度不均匀,形态复杂且个体差异性大,该方法可获得良好的分割效果.球B样条模型具有严格的数学基础、较小的数据规模、平稳的光滑连续性和良好的交互性,非常适宜在物联网平台上传输.在上述关键技术的基础上,研究实现了光线投射法的GPU CUDA的并行加速体绘制及三维虚拟环境下脑血管的交互漫游和自主漫游.系统可实现脑血管疾病的诊断、医疗方案的制定和治疗过程中的监测以及脑血管疾病的教学和培训.相关研究为物联网平台下精细组织电子健康发展作出了有益的尝试.  相似文献   
7.
Today, people use web-based technologies to meet their information needs, socialise, communicate, and deal with formal and informal processes. At the same time, mobile versions of these applications provide people with great convenience in daily life. These applications include blood-pressure monitors, blood-glucose monitors, body-analysis scales, pulse oximeters, and activity and sleep trackers. Many of these products sync directly with a free mobile app that makes monitoring, viewing, storing, and sharing of health vitals simple and comprehensive. The data collected from the user is stored in a cloud-based application, then trained by intelligent algorithms that use machine learning for health aims so that the user can instantly see his or her status and development. In this study, the aim was to construct a cloud-based application specific to women for monitoring pregnancy. In the web-based application working with membership logic, members can access machine learning assisted calculators of the baby percentile, period tracker, pregnancy calendar, and baby vaccination schedule. Moreover, they can access augmented/virtual-reality-assisted visual training.  相似文献   
8.

Immediate ordered recall of multiple-digit numbers was investigated in a practical read-and-key or listenand-key task for three age groups whose mean ages were 25.2 years (range 23-27), 44.1 years (range 42-44) and 63.6 years (range 61-68), all recruited from students and faculty staff at the University of Oslo. The two younger groups performed at comparable levels on the immediate memory task, surpassing the performance of the older group for both visual and auditory presentation of the digit-strings. Increasing the presentation time of the numbers affected the young and older age groups similarly by improving the memory performance. Analyses of the serial position curves revealed an enhancement of the well-known modality effect in the older subjects. The overall decline in memory performance observed at the age of 65 should be taken into account in design of communication technology for the general public.  相似文献   
9.
Ontologies provide formal, machine-readable, and human-interpretable representations of domain knowledge. Therefore, ontologies have come into question with the development of Semantic Web technologies. People who want to use ontologies need an understanding of the ontology, but this understanding is very difficult to attain if the ontology user lacks the background knowledge necessary to comprehend the ontology or if the ontology is very large. Thus, software tools that facilitate the understanding of ontologies are needed. Ontology visualization is an important research area because visualization can help in the development, exploration, verification, and comprehension of ontologies. This paper introduces the design of a new ontology visualization tool, which differs from traditional visualization tools by providing important metrics and analytics about ontology concepts and warning the ontology developer about potential ontology design errors. The tool, called Onyx, also has advantages in terms of speed and readability. Thus, Onyx offers a suitable environment for the representation of large ontologies, especially those used in biomedical and health information systems and those that contain many terms. It is clear that these additional functionalities will increase the value of traditional ontology visualization tools during ontology exploration and evaluation.  相似文献   
10.
Modern information technology has been utilized progressively to store and distribute a large amount of healthcare data to reduce costs and improve medical facilities. In this context, the emergence of e-Health clouds offers novel opportunities, like easy and remote accessibility of medical data. However, this achievement produces plenty of new risks and challenges like how to provide integrity, security, and confidentiality to the highly susceptible e-Health data. Among these challenges, authentication is a major issue that ensures that the susceptible medical data in clouds is not available to illegal participants. The smart card, password and biometrics are three factors of authentication which fulfill the requirement of giving high security. Numerous three-factor ECC-based authentication protocols on e-Health clouds have been presented so far. However, most of the protocols have serious security flaws and produce high computation and communication overheads. Therefore, we introduce a novel protocol for the e-Health cloud, which thwarts some major attacks, such as user anonymity, offline password guessing, impersonation, and stolen smart card attacks. Moreover, we evaluate our protocol through formal security analysis using the Random Oracle Model (ROM). The analysis shows that our proposed protocol is more efficient than many existing protocols in terms of computation and communication costs. Thus, our proposed protocol is proved to be more efficient, robust and secure.  相似文献   
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